These materials replicate the results from the main text of Grossman et al. (2022), “Slanted Narratives, Social Media, and Foreign Influence in Libya.” Three files are needed to replicate the results:
(1) main_replication.R – the script that runs all analyses
(2) libya_narratives.csv – the Post-level dataset with the 16,662 unique posts used in the analysis
(3) validation.csv – a dataset with a sample of 486 posts with hand-coded labels 

The data-sharing policy stipulated by CrowdTangle – the Meta product from which the dataset for this research was generated – disallows the sharing of information that would identify specific posts. Consequently, libya_narratives.csv does not contain Page identifiers, the text of the Post message or description, the URL of the post, or other identifying information. This policy also means that certain elements of the research pipeline cannot be publicly shared because they relied on identifying information: (1) the data cleaning used to obtain the GNA and LAAF terms in the Posts – libya_narratives.csv is a fully cleaned and de-identified dataset; and (2) analyses that make use of identifiable Page-level information (Figure 4, Table 4, and Table 5 in the main text). 
